章艳,王一泽,周运虎

• 1:大连理工大学电气工程学院
• 2:中国船级社天津分社

摘要(Abstract)：

针对热电企业广泛应用的供热补偿设备，构建了抽凝机组配置固体蓄热式电锅炉后的电热可行域模型以及节煤率模型，对比分析了固体蓄热式电锅炉与电极式电锅炉、储水式蓄热罐对热电机组在供热能力、调峰能力、运行成本3方面的影响。基于当前热电企业现状，对配置供热补偿设备的灵活性热电厂建立了电热联合调度通用模型，结合实际热电厂运行数据，校验了上述模型并量化分析了不同补偿供热方案在运行灵活性、场景适应性以及节煤效果、运行成本方面的差异性。结果表明：同等供热能力下，固体蓄热式电锅炉灵活性最强，节煤效果相对最弱，节煤率仅为0.11；蓄热罐节煤效果最佳，节煤率达到0.27，但其场景适应性不及其他供热补偿方案。本文所建模型与研究结果可为热电企业的优化运行提供理论工具及参考。

关键词(KeyWords)： 供热补偿;固体蓄热式电锅炉;运行灵活性;优化运行

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目（51607021）~~

作者(Author): 章艳,王一泽,周运虎

DOI: 10.19666/j.rlfd.202212254

参考文献(References)：

• [1] JIANG X S, JING Z X, WU Q H, et al. Modeling of a central heating electric boiler integrated with a stand-alone wind generator[C]//Proceedings of the 2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference(APPEEC). Kowloon, China:IEEE, 2013:1-6.
• [2]吕泉,陈天佑,王海霞,等.配置储热后热电机组调峰能力分析[J].电力系统自动化, 2014, 38(11):34-41.LYU Quan, CHEN Tianyou, WANG Haixia, et al.Analysis on peak-load regulation ability of cogeneration unit with heat accumulator[J]. Automation of Electric Power Systems, 2014, 38(11):34-41.
• [3] HUANG X, XU Z, SUN Y, et al. Heat and power load dispatching considering energy storage of district heating system and electric boilers[J]. Journal of Modern Power Systems and Clean Energy, 2018, 6(5):992-1003.
• [4]章艳,吕泉,李杨,等.四种热电厂电热解耦改造方案的运行灵活性剖析[J].电力系统自动化, 2020, 44(2):164-172.ZHANG Yan, LYU Quan, LI Yang, et al. Analysis on operation flexibility of combined heat and power plant with four improved power-heat decoupling schemes[J]. Automation of Electric Power Systems, 2020, 44(2):164-172.
• [5]许梦莹,蒋东翔.风电供热系统的能源利用率和经济性分析[J].可再生能源, 2015, 37(8):42-47.XU Mengying, JIANG Dongxiang. Energy efficiency and economic analysis of wind power heating system[J].Renewable Energy Resources, 2015, 37(8):42-47.
• [6]崔杨,陈志,严干贵,等.基于含储热热电联产机组与电锅炉的弃风消纳协调调度模型[J].中国电机工程学报, 2016, 36(15):4072-4081.CUI Yang, CHEN Zhi, YAN Gangui, et al. Coordinated wind power accommodating dispatch model based on electric boiler and CHP with thermal energy storage[J].Proceedings of the CSEE, 2016, 36(15):4072-4081.
• [7] KOACK B, PAKSOY H. Performance of laboratory scale packed-bed thermal energy storage using new demolition waste based sensible heat materials for industrial solar applications[J]. Solar Energy, 2020, 211(17):1335-1346.
• [8]黄新晨,秦勤,于庆波.固体电蓄热装置结构优化及蓄放热特性的模拟[J].材料与冶金学报, 2021, 20(4):290-296.HUANG Xinchen, QIN Qin, YU Qingbo. Simulation on structure optimization and heat storage and release characteristics of solid electric heat storage device[J].Journal of Materials and Metallurgy, 2021, 20(4):290-296.
• [9]梁爽,徐耀祖,商向东,等.基于固体蓄热材料的蓄热过程分析[J].节能技术, 2019, 37(6):545-548.LIANG Shuang, XU Yaozu, SHANG Xiangdong, et al.Analysis of heat storage process based on solid heat storage materials[J]. Energy Conservation Technology,2019, 37(6):545-548.
• [10]赵頔,王启民.基于ANSYS分析的蓄热砖蓄热特性数值模拟及实验研究[J].沈阳工程学院学报(自然科学版), 2020, 16(2):34-38.ZHAO Di, WANG Qimin. Numerical simulation and experimental study on thermal storage characteristics of thermal storage brick based on ANSYS analysis[J].Journal of Shenyang Institute of Engineering(Natural Science), 2020, 16(2):34-38.
• [11]王媛哲.电加热固体储能供热机组送风系统优化研究[D].张家口:河北建筑工程学院, 2021:1.WANG Yuanzhe. Study on optimization of air supply system of electric heating solid energy storage heating unit[D]. Zhangjiakou:Hebei University of Architecture,2021:1.
• [12] TENG Y, SUN P, LENG O, et al. Optimal operation strategy for combined heat and power system based on solid electric thermal storage boiler and thermal inertia[J].IEEE Access, 2019, 7:180761-180770.
• [13] LIZARRAGA-GARCIA E, MITSOS A. Effect of heat transfer structures on thermoeconomic performance of solid thermal storage[J]. Energy, 2014, 68(3):896-909.
• [14] MIAO X Y, KOLDITZ O, NAGEL T. Modelling thermal performance degradation of high and low-temperature solid thermal energy storage due to cracking processes using a phase field approach[J]. Energy Conversion and Management, 2019, 180(2):977-989.
• [15]孙立本,张少成,许冰,等. 66 k V固体电蓄热装置在火电机组深度调峰中的应用[J].华电技术, 2018, 40(7):38-39.SUN Liben, ZHANG Shaocheng, XU Bing, et al.Application of 66 kV solid electric heat storage device in vigorous peak load regulation of thermal power units[J].Huadian Technology, 2018, 40(7):38-39.
• [16]刘景霞,张学让.利用弃风电量进行移动固体电蓄热供暖[J].自动化应用, 2020(3):94-96.LIU Jingxia, ZHANG Xuerang. Using abandoned wind power for mobile solid electric heat storage heating[J].Automation Applications, 2020(3):94-96.
• [17]苗常海,白中华,王雯,等.典型蓄热式电采暖项目经济性对比分析[J].电力需求侧管理, 2018, 20(6):36-39.MIAO Changhai, BAI Zhonghua, WANG Wen, et al.Economic comparison and analysis of typical regenerative electric heating projects[J]. Power Demand Side Management, 2018, 20(6):36-39.
• [18] LEI Z, WANG G, LI T, et al. Strategy analysis about the active curtailed wind accommodation of heat storage electric boiler heating[J]. Energy Reports, 2021, 7:65-71.
• [19]潘跃.固蓄电锅炉弃风消纳优化研究[D].包头:内蒙古科技大学, 2020:1.PAN Yue. Study on optimization of abandoned wind power consumption in solid regenerative electric boilers[D]. Baotou:Inner Mongolia University of Science&Technology, 2020:1.
• [20] CHEN X, KANG C, O'MALLEY M, et al. Increasing the flexibility of combined heat and power for wind power integration in China:modeling and implications[J]. IEEE Transactions on Power Systems, 2015, 30(4):1848-1857.
• [21]吕泉,刘永成,刘乐,等.两种风电供热模式的节煤效果比较[J].电力系统自动化, 2019, 43(4):49-59.LYU Quan, LIU Yongcheng, LIU Le, et al. Comparison of coal saving performance of two wind power heating modes[J]. Automation of Electric Power Systems, 2019,43(4):49-59.
• [22]吕泉,胡炳廷,王海霞,等.风热冲突下热电厂供热问题研究[J].电力自动化设备, 2017, 37(6):236.LYU Quan, HU Bingting, WANG Haixia, et al. Heatsupply of thermal power plant in wind-heat conflict[J].Electric Power Automation Equipment, 2017, 37(6):236.
• [23]李虹,王晓丹,周晓洁,等.基于储热热电机组和电锅炉的风电消纳调度模型[J].电力科学与工程, 2018,34(1):11-17.LI Hong, WANG Xiaodan, ZHOU Xiaojie, et al. Wind power accommodation dispatching model based on thermoelectric unit with heat storage device and electric boiler[J].Electric power science and engineering, 2018, 34(1):11-17.
• [24]于娜,李宏伟,葛延峰,等.风荷组合场景下计及调峰效益的电锅炉和储热系统容量优化配置[J].现代电力,2021, 38(1):41-52.YU Na, LI Hongwei, GE Yanfeng, et al. Optimal capacity configuration of electric boiler and heat storage system considering peak-shaving benefit under wind-load combination scenario[J]. Modern Electric Power, 2021,38(1):41-52.
• [25]吕泉,杜思瑶,刘乐,等.东北辅助服务市场下热电厂配置电锅炉调峰的经济性分析[J].电力系统自动化,2019, 43(20):49-56.LYU Quan, DU Siyao, LIU Le, et al. Economic analysis of peak shaving of combine heat and power plant with electric boilers in auxiliary service market of northeast China[J].Automation of Electric Power System, 2019, 43(20):49-56.
• [26]苏鹏,王文君,杨光,等.提升火电机组灵活性改造技术方案研究[J].中国电力, 2018, 51(5):87-94.SU Peng, WANG Wenjun, YANG Guang, et al. Research on the technology to improve the flexibility of thermal power plants[J]. Electric Power, 2018, 51(5):87-94.